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# Data Scientist- Manager

- **Company:** Kpmg LLP
- **Location:** Orlando, FL, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** LangGraph Framework, Artificial Intelligence, Data Analysis, Microsoft Azure, Continuous Integration, Python (Programming Language), Machine Learning, Systems Development Life Cycle, OpenAI, Search Technologies, Software Engineering, Enterprise Search, Google Cloud, Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, Model Validation, Generative AI, Git, Microsoft Fabric, LangSmith, Information Technology, Data Management, Semantic Kernel, Databricks
- **Published:** October 27, 2026
- **Apply:** https://www.careerbuilder.com/job-details/data-scientist-manager-orlando-fl--4480e3b1-aa0e-48a3-a9d9-98bfd02f0dc7

## About the Role

Data Science, Data Science, Consulting, Community Support, Artificial Intelligence (AI), Technical Leadership, Product Lifecycle, Auditing, Software Development Lifecycle (SDLC), Time Management, * Minimum five years of recent experience in data science or a related machine learning field with a proven track record of delivering AI solutions into production environments

 * PhD or Masters degree from an accredited college or university in computer science, statistics, mathematics, or a related quantitative discipline is required
 * Hands-on expertise with generative AI including extensive experience with LLMs (for example, Azure OpenAI, Google Cloud), RAG pipelines, and AI frameworks such as LangChain/LangGraph or Semantic Kernel
 * Proficient in Python and its data science ecosystem; experienced in building solutions on data platforms like Databricks or Microsoft Fabric and search technologies like Azure AI Search
 * Solid understanding of the software development lifecycle (SDLC) in an agile environment; experienced with version control tools like Git and CI/CD tools within Azure DevOps
 * Exceptional analytical skills; able to communicate complex technical concepts clearly and effectively to both technical and non-technical stakeholders(200TEC)

## Description

Data Scientist- Manager

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 * US-KPMG.com, * Develop sophisticated generative AI solutions; provide technical guidance to a team of data scientists
 * Guide the end-to-end data science lifecycle for key product features; oversee experimentation, rigorous model evaluation, and prompt engineering and optimization
 * Collaborate closely with product managers, audit subject matter experts, and engineering teams to translate complex business requirements into scalable and reliable technical solutions
 * Champion a culture of quality and innovation within engineering teams; identify opportunities to continually improve solutions
 * Drive quality SDLC processes with AI engineering teams; deliver solutions on time to meet business cycle timelines
 * Champion and enhance AI and RAG evaluation frameworks using tools like LangSmith; ensure solutions meet KPMGs standards for quality
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